This project implements a worker pool paradigm using processes and pipes for inter-process communication and incorporates RPC functionality. The parent process distributes tasks to child processes, which execute them and respond with results. It ensures proper synchronization using semaphores and supports a graceful shutdown on termination.

A merge of django-celery-beat, django-celery-result, django-celery-progress.

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This Go program efficiently processes tasks using goroutines, channels, and sync.WaitGroup, enabling concurrent execution and synchronization. Ideal for job queues and scalable task processing. 🚀

Celery is an open-source distributed task queue that helps you handle asynchronous tasks and job queues with ease. Designed for real-time processing, it integrates seamlessly with your Python applications to offload long-running or resource-intensive tasks. 🐍⚙️